# practical 2 twitter social media data access :
!pip install tweepy

##Import Libraries & Set Bearer Token
import tweepy

#Replace this with your actual Bearer Token from Twitter Developer Portal
BEARER_TOKEN = "AAAAAAAAAAAAAAAAAAAAAH0R3AEAAAAAX2tfpLbHZqhjBLHDvTN1s%2Bx3qkw%3DPIezSv6QkW4iEnHVR9kt1CaFj5bM4RbTGgHFV3W6cwmWjnUF1H"

#Initialize Tweepy Client
client = tweepy.Client(bearer_token=BEARER_TOKEN)

##Define the Fetch Function (same as original)
def fetch_tweets(keyword, max_results=10):
    response = client.search_recent_tweets(
        query=keyword,
        max_results=max_results,
        tweet_fields=['created_at', 'text', 'author_id', 'lang', 'public_metrics']
    )

    tweets = response.data
    if tweets is None:
        print("No tweets found for the given keyword.")
        return

    for idx, tweet in enumerate(tweets, start=1):
        print(f"\nTweet {idx}:")
        print(f"Time     : {tweet.created_at}")
        print(f"Tweet ID : {tweet.id}")
        print(f"Author ID: {tweet.author_id}")
        print(f"Language : {tweet.lang}")
        print(f"Text     : {tweet.text}")
        print(f"Likes    : {tweet.public_metrics['like_count']}")
        print(f"Retweets : {tweet.public_metrics['retweet_count']}")
        print("-" * 50)

keyword = input("Enter keyword to search tweets: ")
fetch_tweets(keyword)